或许对象通过凸集、凸曲线或其它可度量向量空间中的结构来表示会更好。
Perhaps objects might be better represented by convex bodies, curves or by other structures in a metric vector space.
谷歌的网页级别是特征向量中心性度量的一个变体。
Google's PageRank is a variant of the Eigenvector centrality measure.
从另一方面来看，“通量”度量的是，沿着曲线前进时，大致会有多少向量场通过曲线。
Flux, on the other hand, measures, when I go along the curve, roughly how much the field is going to across the curve.
它度量有多少向量场穿过了曲线。
它度量了向量场穿过曲线的量。
And that measured how much the vector field was going across the curve.
为了给出图像类推算法的适用范围，提出了一种新的基于分形维数向量的图像的相似性度度量算子。
To give applicable range of image analogies algorithm, based on the fractal dimension vector, a new operator used to measure the image similarity is proposed.
二维和三维的欧几里德空间是度量空间。另外，内乘空间、向量空间以及某些拓扑空间等也都是度量空间。
Two-and three-dimensional Euclidean Spaces are metric Spaces as are inner product Spaces vector Spaces and certain topological Spaces.
二维和三维的欧几里德空间是度量空间。另外，内乘空间、向量空间以及某些拓扑空间等也都是度量空间。
Two-and threed imensional euclidean spaces are metric spaces as are inner product spaces vector spaces and certain topological spaces.
它是将跳数作为度量值的距离向量协议。
It is a distance-vector protocol which uses hop counts as the metric.
在这个意义上，定义效用向量函数来度量每一处理方案的适合程度。
From this sense, utility vector function to measure the degree of suitability of each proposal is presented.
实验结果表明，基于光谱多边形的方法能够更有效地综合应用反射率和波长二维信息，有效度量光谱向量相似性。
It proved that the approach based on spectral polygon can be used to similarity measure and image retrieval effectively because of its synthetic applications to albedo and wavelength information.
本文给出了一些度量随机变量之间或随机向量之间的相关性的方法，尤其适用于定性变量之间的相关性。
In this paper, we sugg-est some kinds of the measures of correlation between random variables or random vectors, especially for the qualitative variables.
本文考虑软件故障严重程度，并采用C&K面向对象度量集，以支持向量机分析方法为数学工具，建立一种基于面向对象软件易发性故障预测模型。
With software fault severity considered, a software fault-proneness prediction model is proposed in this paper by Support Vector Machine and the Chidamber-Kemerer(C&K)object-oriented metrics.
运用三角模糊数的概念，根据个体加权向量，提出衡量个体间一致性的相似度量函数，由此构造个体、群体的一致性指标。
This function can be used to measure the similarity between individual preference and to construct individual and group consensus index.
针对向量空间模型在文档相似度量方面的局限，提出了基于计算公共子串的文档相似度量算法。
In respect to the limitation of document similarity measuring based on VSM, this paper put forward an algorithm based on public substring of strings.
用两类所含指标全体所构成的向量的内在相关性度量来刻画两类间的距离，改进了一种指标聚类的方法。
A method of cluster analysis for variables was improved based on the inner relationship of a random vector.
二维和三维的欧几里德空间是度量空间。另外，内乘空间、向量空间以及某些拓扑空间等也都是度量空间。
Two - and three-dimensional Euclidean Spaces are metric Spaces, as are inner product Spaces, vector Spaces, and certain topological Spaces.
在传统的空间域正则化图像复原或超分辨率图像复原方法中，是用向量2-范数度量数据逼近项和正则项。
In traditional approach, people use l_2 -norm to measure data approximation item and regularization item in regularized image restoration and super-restoration in spatial domain.
通过对时间序列建立向量误差修正模型，运用单位根检验、协整检验、格兰杰因果关系检验、脉冲响应函数等方法精确地度量系统中变量之间相互影响的动态过程。
The article USES VECM, ADF Test, Johansen Test, Granger Causal Relation Test, Impulse Response Function to accurately measure the process that the variables influence each other in the system.
在二次误差度量算法的基础上，考虑边界约束条件和法向量限制，扩展了算法的应用范围。
Based on the primary quadric error metric arithmetic, combined with boundary constrained condition and normal restriction, the primary arithmetic is modified and the application scope is extended.
用距离函数对图像的特征向量进行相似性度量，从而实现SIFT特征向量的匹配。
The distance function is used for similarity measure of image feature vector and realizes the matching of feature vector.
如果有一个适当的相似性度量方法或一个结合图表形式的向量表示空间，统计学习技术则可以被用上。
Other statistical learning techniques are applied to these if given an appropriate proximity measure or a vectorial representation space found by graph embeddings [79].
最后采用基于矩阵的F -范数代替传统的基于向量的2一范数进行分类度量。
Last but more importantly, we used the F-norm classification measure based on the matrix instead of the traditional 2-norm measure based on the vector.
然后，对所建立关联矩阵的列向量或行向量进行相似性度量，获得相似客户群体或相关页面。
Then, similar customer groups or relevant Web pages were obtained by measuring the similarity between column vectors or between row vectors of the associated matrix.
在多维向量空间中可以对数据场量进行度量、分解和构造向量角度函数。
In multi_dimensional linear vector space, values of data field can be calculated, differentiated, analyzed and the Angle function also can be formulated in the space.
在多维向量空间中可以对数据场量进行度量、分解和构造向量角度函数。
In multi_dimensional linear vector space, values of data field can be calculated, differentiated, analyzed and the Angle function also can be formulated in the space.
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